Building a Performance Engineering Culture: Evaluating Performance

Performance Engineering    |    Intermediate
  • 14 videos | 1h 22m 8s
  • Includes Assessment
  • Earns a Badge
Rating 4.3 of 26 users Rating 4.3 of 26 users (26)
Performance engineering activities occur at all stages of the system development life cycle. Performance engineers are tasked with continually evaluating performance systems to ensure they meet their non-functional requirements. There are several tools and techniques involved in this evaluation process. Use this theory-based course to gain a solid knowledge of what's involved. Explore various performance engineering metrics and key performance indicators (KPIs). Discover testing techniques and the importance of ensuring reproducible test results. Examine the benefits of visualization, learning how it's used to spot anomalies. See how KPIs can be used to identify bottlenecks. And lastly, find out what to consider when building a performance engineering toolbox. When you're done, you'll have the know-how to plan your performance engineering evaluation activities.

WHAT YOU WILL LEARN

  • Discover the key concepts covered in this course
    Recognize the advantages of monitoring performance metrics
    List different performance engineering metrics, including release quality, automated performance, and throughput
    Identify key considerations when analyzing performance engineering data and outline guidelines for deriving focus areas from an analysis
    Outline a generic step-by-step approach for creating a performance engineering solution at an organizational level
    Differentiate between different deployment tiers, including web, app, and database
    Categorize various key performance indicators and summarize how they help achieve business objectives
  • Define testing techniques and describe the importance of fully completing tests prior to analysis
    Recognize the importance of targeted workloads
    Recognize the benefits of visualization and describe how to use visualization to spot anomalies
    Describe how to use key performance indicators to identify bottlenecks
    Recognize the importance of ensuring reproducible testing results
    List key considerations when building a performance engineering toolbox
    Summarize the key concepts covered in this course

IN THIS COURSE

  • 1m 17s
  • 9m 13s
  • Locked
    3.  Performance Engineering Metrics
    8m 43s
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    4.  Performance Engineering Analysis
    7m 11s
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    5.  Defining a Performance Engineering Solution
    5m 24s
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    6.  Tier-based Engineering
    5m 59s
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    7.  Key Performance Indicators
    7m 9s
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    8.  Performance Testing Techniques
    6m 8s
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    9.  Targeted Workload Considerations
    5m 9s
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    10.  The Benefits of Visualization
    5m 10s
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    11.  Bottleneck Identification
    7m 55s
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    12.  Reproducible Testing Practices
    5m 20s
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    13.  Performance Engineering Toolbox
    6m 48s
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    14.  Course Summary
    42s

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